VP Data

⌘ About Timeleft

TimeLeft is reimagining how people meet. We create immersive social experiences

that help people break out of their routines and connect in the real world. Our

platform has grown rapidly across Europe, and we’re now expanding globally. It’s an

exciting time to join as we scale, experiment, and build the data foundation that will

power our next stage of growth.

⌘ The Role

We are looking for VP Data who will report directly to CEO and help us build the analytics engine that powers every key decision at Timeleft — across marketing, revenue, finance, product, and operations.

You will strengthen the foundations already built over the past year and transform them into scalable systems, models, and processes capable of carrying Timeleft from €15M to €100M+.

Lead and elevate our data engineering and analytics teams to make Timeleft a world-class, truly data-driven company — one with absolute clarity, consistency, and trust in every metric.

⌘ Expected 6-12 months outcome

• Own the analytics tracking architecture end-to-end — ensuring clean, reliable, and consistent data across all funnels.
• Deliver a trusted, stable, automated dashboard for marketing, revenue, finance, product, and operations.
• Build and scale Timeleft’s experimentation framework (A / B, incrementality, attribution), enabling Product, Ops, and Growth to make rapid, evidence-based decisions.
• Establish clear QA processes together with Engineering to guarantee data integrity at source.
• Build data pipelines and revenue models that eliminate inconsistencies and improve forecasting.
• Lead an analytics team of 3–5 analysts.
• Create a company-wide metric glossary to eliminate ambiguity.
• Implement incrementality measurement and support paid marketing scale.
• Partner with Product & Finance to improve retention, LTV, pricing, payback windows, and revenue accuracy.
• Deliver weekly insights and recommendations that directly influence roadmap, growth strategy, and revenue generation.
• Develop the first version of a Revenue Intelligence system : predictive NGTV, retention drivers, pricing elasticity, and repeat conversion models.

⌘ Competencies

⌘ What’s in it for you?

⌘ Recruitment process

Screening Interview (30 min) - A conversation with Talent Acquisition Lead to discuss your experience, career goals, and how they align with our mission at Timeleft.

Experience Interview (15-30min) - A conversation with the CEO to assess cultural fit and strategic alignment.

Case Study

Final Interview (1h) - An in-depth discussion with CEO and VP Product focusing on your case study, relevant experience, key skills, and how you approach complex challenges.